Dataset statistics
| Number of variables | 20 |
|---|---|
| Number of observations | 34857 |
| Missing cells | 93365 |
| Missing cells (%) | 13.4% |
| Duplicate rows | 1 |
| Duplicate rows (%) | < 0.1% |
| Total size in memory | 5.3 MiB |
| Average record size in memory | 160.0 B |
Variable types
| Categorical | 8 |
|---|---|
| Numeric | 12 |
| Dataset has 1 (< 0.1%) duplicate rows | Duplicates |
Suburb has a high cardinality: 351 distinct values | High cardinality |
Address has a high cardinality: 34009 distinct values | High cardinality |
SellerG has a high cardinality: 388 distinct values | High cardinality |
Date has a high cardinality: 78 distinct values | High cardinality |
Rooms is highly correlated with Bedroom2 and 2 other fields | High correlation |
Postcode is highly correlated with Lattitude and 1 other fields | High correlation |
Bedroom2 is highly correlated with Rooms and 2 other fields | High correlation |
Bathroom is highly correlated with Rooms and 2 other fields | High correlation |
BuildingArea is highly correlated with Rooms and 2 other fields | High correlation |
Lattitude is highly correlated with Postcode | High correlation |
Longtitude is highly correlated with Postcode | High correlation |
Rooms is highly correlated with Bedroom2 and 1 other fields | High correlation |
Bedroom2 is highly correlated with Rooms and 1 other fields | High correlation |
Bathroom is highly correlated with Rooms and 1 other fields | High correlation |
Rooms is highly correlated with Bedroom2 and 2 other fields | High correlation |
Bedroom2 is highly correlated with Rooms and 2 other fields | High correlation |
Bathroom is highly correlated with Rooms and 2 other fields | High correlation |
BuildingArea is highly correlated with Rooms and 2 other fields | High correlation |
Regionname is highly correlated with CouncilArea | High correlation |
CouncilArea is highly correlated with Regionname | High correlation |
Rooms is highly correlated with Type and 2 other fields | High correlation |
Type is highly correlated with Rooms and 1 other fields | High correlation |
Distance is highly correlated with Postcode and 5 other fields | High correlation |
Postcode is highly correlated with Distance and 4 other fields | High correlation |
Bedroom2 is highly correlated with Rooms and 2 other fields | High correlation |
Bathroom is highly correlated with Rooms and 1 other fields | High correlation |
Landsize is highly correlated with BuildingArea | High correlation |
BuildingArea is highly correlated with Landsize | High correlation |
CouncilArea is highly correlated with Distance and 5 other fields | High correlation |
Lattitude is highly correlated with Distance and 5 other fields | High correlation |
Longtitude is highly correlated with Distance and 5 other fields | High correlation |
Regionname is highly correlated with Distance and 4 other fields | High correlation |
Propertycount is highly correlated with Distance and 3 other fields | High correlation |
Bedroom2 has 8217 (23.6%) missing values | Missing |
Bathroom has 8226 (23.6%) missing values | Missing |
Car has 8728 (25.0%) missing values | Missing |
Landsize has 11810 (33.9%) missing values | Missing |
BuildingArea has 21115 (60.6%) missing values | Missing |
YearBuilt has 19306 (55.4%) missing values | Missing |
Lattitude has 7976 (22.9%) missing values | Missing |
Longtitude has 7976 (22.9%) missing values | Missing |
Landsize is highly skewed (γ1 = 96.02231136) | Skewed |
BuildingArea is highly skewed (γ1 = 99.13257937) | Skewed |
Address is uniformly distributed | Uniform |
Car has 1631 (4.7%) zeros | Zeros |
Landsize has 2437 (7.0%) zeros | Zeros |
Reproduction
| Analysis started | 2021-10-09 14:05:54.930704 |
|---|---|
| Analysis finished | 2021-10-09 14:06:09.408423 |
| Duration | 14.48 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 351 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 272.4 KiB |
| Reservoir | 844 |
|---|---|
| Bentleigh East | 583 |
| Richmond | 552 |
| Glen Iris | 491 |
| Preston | 485 |
| Other values (346) |
Length
| Max length | 18 |
|---|---|
| Median length | 9 |
| Mean length | 9.819175488 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 20 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | Abbotsford |
|---|---|
| 2nd row | Abbotsford |
| 3rd row | Abbotsford |
| 4th row | Abbotsford |
| 5th row | Abbotsford |
Common Values
| Value | Count | Frequency (%) |
| Reservoir | 844 | 2.4% |
| Bentleigh East | 583 | 1.7% |
| Richmond | 552 | 1.6% |
| Glen Iris | 491 | 1.4% |
| Preston | 485 | 1.4% |
| Kew | 467 | 1.3% |
| Brighton | 456 | 1.3% |
| Brunswick | 444 | 1.3% |
| South Yarra | 435 | 1.2% |
| Hawthorn | 428 | 1.2% |
| Other values (341) | 29672 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| east | 2735 | 5.7% |
| north | 1795 | 3.7% |
| south | 1398 | 2.9% |
| west | 1084 | 2.3% |
| melbourne | 1053 | 2.2% |
| bentleigh | 902 | 1.9% |
| park | 885 | 1.8% |
| brunswick | 877 | 1.8% |
| brighton | 849 | 1.8% |
| reservoir | 844 | 1.8% |
| Other values (296) | 35685 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 34009 |
|---|---|
| Distinct (%) | 97.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 272.4 KiB |
| 5 Charles St | 6 |
|---|---|
| 25 William St | 4 |
| 2 Bruce St | 3 |
| 13 George St | 3 |
| 3 Charles St | 3 |
| Other values (34004) |
Length
| Max length | 27 |
|---|---|
| Median length | 13 |
| Mean length | 13.55136701 |
| Min length | 8 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 33201 ? |
|---|---|
| Unique (%) | 95.2% |
Sample
| 1st row | 68 Studley St |
|---|---|
| 2nd row | 85 Turner St |
| 3rd row | 25 Bloomburg St |
| 4th row | 18/659 Victoria St |
| 5th row | 5 Charles St |
Common Values
| Value | Count | Frequency (%) |
| 5 Charles St | 6 | < 0.1% |
| 25 William St | 4 | < 0.1% |
| 2 Bruce St | 3 | < 0.1% |
| 13 George St | 3 | < 0.1% |
| 3 Charles St | 3 | < 0.1% |
| 57 Bay Rd | 3 | < 0.1% |
| 28 Blair St | 3 | < 0.1% |
| 3 Donald St | 3 | < 0.1% |
| 38 Stewart St | 3 | < 0.1% |
| 21 May St | 3 | < 0.1% |
| Other values (33999) | 34823 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| st | 17238 | 16.4% |
| rd | 6592 | 6.3% |
| av | 3395 | 3.2% |
| ct | 1743 | 1.7% |
| dr | 1266 | 1.2% |
| cr | 1171 | 1.1% |
| gr | 733 | 0.7% |
| 3 | 695 | 0.7% |
| 5 | 671 | 0.6% |
| 4 | 656 | 0.6% |
| Other values (12873) | 70896 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.031012422 |
| Minimum | 1 |
|---|---|
| Maximum | 16 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 2 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 5 |
| Maximum | 16 |
| Range | 15 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 0.9699329349 |
|---|---|
| Coefficient of variation (CV) | 0.320002956 |
| Kurtosis | 2.511708654 |
| Mean | 3.031012422 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.4990968808 |
| Sum | 105652 |
| Variance | 0.9407698982 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 3 | 15084 | |
| 2 | 8332 | |
| 4 | 7956 | |
| 5 | 1737 | 5.0% |
| 1 | 1479 | 4.2% |
| 6 | 204 | 0.6% |
| 7 | 32 | 0.1% |
| 8 | 19 | 0.1% |
| 10 | 6 | < 0.1% |
| 9 | 4 | < 0.1% |
| Other values (2) | 4 | < 0.1% |
| Value | Count | Frequency (%) |
| 1 | 1479 | 4.2% |
| 2 | 8332 | |
| 3 | 15084 | |
| 4 | 7956 | |
| 5 | 1737 | 5.0% |
| 6 | 204 | 0.6% |
| 7 | 32 | 0.1% |
| 8 | 19 | 0.1% |
| 9 | 4 | < 0.1% |
| 10 | 6 | < 0.1% |
| Value | Count | Frequency (%) |
| 16 | 1 | < 0.1% |
| 12 | 3 | < 0.1% |
| 10 | 6 | < 0.1% |
| 9 | 4 | < 0.1% |
| 8 | 19 | 0.1% |
| 7 | 32 | 0.1% |
| 6 | 204 | 0.6% |
| 5 | 1737 | 5.0% |
| 4 | 7956 | |
| 3 | 15084 |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 272.4 KiB |
| h | |
|---|---|
| u | |
| t |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | h |
|---|---|
| 2nd row | h |
| 3rd row | h |
| 4th row | u |
| 5th row | h |
Common Values
| Value | Count | Frequency (%) |
| h | 23980 | |
| u | 7297 | 20.9% |
| t | 3580 | 10.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| h | 23980 | |
| u | 7297 | 20.9% |
| t | 3580 | 10.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Method
Categorical
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 272.4 KiB |
| S | |
|---|---|
| SP | |
| PI | |
| VB | |
| SN | 1317 |
| Other values (4) | 743 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.428608314 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | SS |
|---|---|
| 2nd row | S |
| 3rd row | S |
| 4th row | VB |
| 5th row | SP |
Common Values
| Value | Count | Frequency (%) |
| S | 19744 | |
| SP | 5095 | 14.6% |
| PI | 4850 | 13.9% |
| VB | 3108 | 8.9% |
| SN | 1317 | 3.8% |
| PN | 308 | 0.9% |
| SA | 226 | 0.6% |
| W | 173 | 0.5% |
| SS | 36 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| s | 19744 | |
| sp | 5095 | 14.6% |
| pi | 4850 | 13.9% |
| vb | 3108 | 8.9% |
| sn | 1317 | 3.8% |
| pn | 308 | 0.9% |
| sa | 226 | 0.6% |
| w | 173 | 0.5% |
| ss | 36 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 388 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 272.4 KiB |
| Jellis | |
|---|---|
| Nelson | |
| Barry | |
| hockingstuart | |
| Marshall | 2027 |
| Other values (383) |
Length
| Max length | 27 |
|---|---|
| Median length | 6 |
| Mean length | 6.291533982 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 107 ? |
|---|---|
| Unique (%) | 0.3% |
Sample
| 1st row | Jellis |
|---|---|
| 2nd row | Biggin |
| 3rd row | Biggin |
| 4th row | Rounds |
| 5th row | Biggin |
Common Values
| Value | Count | Frequency (%) |
| Jellis | 3359 | 9.6% |
| Nelson | 3236 | 9.3% |
| Barry | 3235 | 9.3% |
| hockingstuart | 2623 | 7.5% |
| Marshall | 2027 | 5.8% |
| Ray | 1950 | 5.6% |
| Buxton | 1868 | 5.4% |
| Biggin | 897 | 2.6% |
| Fletchers | 861 | 2.5% |
| Woodards | 714 | 2.0% |
| Other values (378) | 14087 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| jellis | 3359 | 9.6% |
| nelson | 3236 | 9.3% |
| barry | 3235 | 9.3% |
| hockingstuart | 2623 | 7.5% |
| marshall | 2027 | 5.8% |
| ray | 1950 | 5.6% |
| buxton | 1868 | 5.4% |
| biggin | 897 | 2.6% |
| fletchers | 861 | 2.5% |
| woodards | 714 | 2.0% |
| Other values (373) | 14087 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 78 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 272.4 KiB |
| 28/10/2017 | 1119 |
|---|---|
| 17/03/2018 | 970 |
| 24/02/2018 | 941 |
| 9/12/2017 | 927 |
| 25/11/2017 | 902 |
| Other values (73) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 9.714748831 |
| Min length | 9 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3/09/2016 |
|---|---|
| 2nd row | 3/12/2016 |
| 3rd row | 4/02/2016 |
| 4th row | 4/02/2016 |
| 5th row | 4/03/2017 |
Common Values
| Value | Count | Frequency (%) |
| 28/10/2017 | 1119 | 3.2% |
| 17/03/2018 | 970 | 2.8% |
| 24/02/2018 | 941 | 2.7% |
| 9/12/2017 | 927 | 2.7% |
| 25/11/2017 | 902 | 2.6% |
| 18/11/2017 | 866 | 2.5% |
| 3/03/2018 | 846 | 2.4% |
| 6/01/2018 | 787 | 2.3% |
| 27/05/2017 | 770 | 2.2% |
| 23/09/2017 | 742 | 2.1% |
| Other values (68) | 25987 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 28/10/2017 | 1119 | 3.2% |
| 17/03/2018 | 970 | 2.8% |
| 24/02/2018 | 941 | 2.7% |
| 9/12/2017 | 927 | 2.7% |
| 25/11/2017 | 902 | 2.6% |
| 18/11/2017 | 866 | 2.5% |
| 3/03/2018 | 846 | 2.4% |
| 6/01/2018 | 787 | 2.3% |
| 27/05/2017 | 770 | 2.2% |
| 23/09/2017 | 742 | 2.1% |
| Other values (68) | 25987 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 215 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 1 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.18492942 |
| Minimum | 0 |
|---|---|
| Maximum | 48.1 |
| Zeros | 77 |
| Zeros (%) | 0.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2.7 |
| Q1 | 6.4 |
| median | 10.3 |
| Q3 | 14 |
| 95-th percentile | 24.7 |
| Maximum | 48.1 |
| Range | 48.1 |
| Interquartile range (IQR) | 7.6 |
Descriptive statistics
| Standard deviation | 6.788892456 |
|---|---|
| Coefficient of variation (CV) | 0.6069678403 |
| Kurtosis | 3.585924276 |
| Mean | 11.18492942 |
| Median Absolute Deviation (MAD) | 3.85 |
| Skewness | 1.503585816 |
| Sum | 389861.9 |
| Variance | 46.08906078 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 11.2 | 1420 | 4.1% |
| 13.8 | 681 | 2.0% |
| 9.2 | 665 | 1.9% |
| 7.8 | 662 | 1.9% |
| 10.5 | 660 | 1.9% |
| 8.4 | 604 | 1.7% |
| 4.6 | 585 | 1.7% |
| 14.7 | 566 | 1.6% |
| 5.2 | 565 | 1.6% |
| 11.4 | 521 | 1.5% |
| Other values (205) | 27927 |
| Value | Count | Frequency (%) |
| 0 | 77 | 0.2% |
| 0.7 | 29 | 0.1% |
| 1.2 | 47 | 0.1% |
| 1.3 | 30 | 0.1% |
| 1.4 | 6 | < 0.1% |
| 1.5 | 29 | 0.1% |
| 1.6 | 194 | |
| 1.8 | 152 | |
| 1.9 | 148 | |
| 2 | 52 | 0.1% |
| Value | Count | Frequency (%) |
| 48.1 | 6 | < 0.1% |
| 47.4 | 7 | < 0.1% |
| 47.3 | 20 | |
| 45.9 | 33 | |
| 45.2 | 2 | < 0.1% |
| 44.2 | 20 | |
| 43.4 | 5 | < 0.1% |
| 43.3 | 6 | < 0.1% |
| 41 | 18 | |
| 39.8 | 2 | < 0.1% |
| Distinct | 211 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 1 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3116.062859 |
| Minimum | 3000 |
|---|---|
| Maximum | 3978 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | 3000 |
|---|---|
| 5-th percentile | 3015 |
| Q1 | 3051 |
| median | 3103 |
| Q3 | 3156 |
| 95-th percentile | 3204 |
| Maximum | 3978 |
| Range | 978 |
| Interquartile range (IQR) | 105 |
Descriptive statistics
| Standard deviation | 109.0239027 |
|---|---|
| Coefficient of variation (CV) | 0.03498770971 |
| Kurtosis | 22.78373808 |
| Mean | 3116.062859 |
| Median Absolute Deviation (MAD) | 52 |
| Skewness | 4.018785705 |
| Sum | 108613487 |
| Variance | 11886.21137 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3073 | 844 | 2.4% |
| 3046 | 638 | 1.8% |
| 3020 | 617 | 1.8% |
| 3121 | 612 | 1.8% |
| 3165 | 583 | 1.7% |
| 3058 | 556 | 1.6% |
| 3040 | 535 | 1.5% |
| 3204 | 518 | 1.5% |
| 3163 | 508 | 1.5% |
| 3012 | 497 | 1.4% |
| Other values (201) | 28948 |
| Value | Count | Frequency (%) |
| 3000 | 204 | |
| 3002 | 59 | 0.2% |
| 3003 | 66 | 0.2% |
| 3006 | 76 | 0.2% |
| 3008 | 16 | < 0.1% |
| 3011 | 375 | |
| 3012 | 497 | |
| 3013 | 304 | |
| 3015 | 345 | |
| 3016 | 240 |
| Value | Count | Frequency (%) |
| 3978 | 5 | < 0.1% |
| 3977 | 33 | |
| 3976 | 7 | < 0.1% |
| 3975 | 2 | < 0.1% |
| 3910 | 18 | 0.1% |
| 3810 | 20 | |
| 3809 | 6 | < 0.1% |
| 3808 | 2 | < 0.1% |
| 3807 | 7 | < 0.1% |
| 3806 | 47 |
| Distinct | 15 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 8217 |
| Missing (%) | 23.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.084647147 |
| Minimum | 0 |
|---|---|
| Maximum | 30 |
| Zeros | 17 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 2 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 5 |
| Maximum | 30 |
| Range | 30 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 0.9806897285 |
|---|---|
| Coefficient of variation (CV) | 0.3179260647 |
| Kurtosis | 26.80745531 |
| Mean | 3.084647147 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.406365679 |
| Sum | 82175 |
| Variance | 0.9617523437 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 3 | 11881 | |
| 4 | 6348 | |
| 2 | 5777 | |
| 5 | 1427 | 4.1% |
| 1 | 966 | 2.8% |
| 6 | 168 | 0.5% |
| 7 | 30 | 0.1% |
| 0 | 17 | < 0.1% |
| 8 | 13 | < 0.1% |
| 9 | 5 | < 0.1% |
| Other values (5) | 8 | < 0.1% |
| (Missing) | 8217 |
| Value | Count | Frequency (%) |
| 0 | 17 | < 0.1% |
| 1 | 966 | 2.8% |
| 2 | 5777 | |
| 3 | 11881 | |
| 4 | 6348 | |
| 5 | 1427 | 4.1% |
| 6 | 168 | 0.5% |
| 7 | 30 | 0.1% |
| 8 | 13 | < 0.1% |
| 9 | 5 | < 0.1% |
| Value | Count | Frequency (%) |
| 30 | 1 | < 0.1% |
| 20 | 1 | < 0.1% |
| 16 | 1 | < 0.1% |
| 12 | 1 | < 0.1% |
| 10 | 4 | < 0.1% |
| 9 | 5 | < 0.1% |
| 8 | 13 | < 0.1% |
| 7 | 30 | 0.1% |
| 6 | 168 | 0.5% |
| 5 | 1427 |
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 8226 |
| Missing (%) | 23.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.624798168 |
| Minimum | 0 |
|---|---|
| Maximum | 12 |
| Zeros | 46 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 2 |
| 95-th percentile | 3 |
| Maximum | 12 |
| Range | 12 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.7242120115 |
|---|---|
| Coefficient of variation (CV) | 0.4457242911 |
| Kurtosis | 4.861008943 |
| Mean | 1.624798168 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.356293032 |
| Sum | 43270 |
| Variance | 0.5244830376 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 1 | 12969 | |
| 2 | 11064 | |
| 3 | 2181 | 6.3% |
| 4 | 269 | 0.8% |
| 5 | 77 | 0.2% |
| 0 | 46 | 0.1% |
| 6 | 16 | < 0.1% |
| 7 | 4 | < 0.1% |
| 8 | 3 | < 0.1% |
| 12 | 1 | < 0.1% |
| (Missing) | 8226 |
| Value | Count | Frequency (%) |
| 0 | 46 | 0.1% |
| 1 | 12969 | |
| 2 | 11064 | |
| 3 | 2181 | 6.3% |
| 4 | 269 | 0.8% |
| 5 | 77 | 0.2% |
| 6 | 16 | < 0.1% |
| 7 | 4 | < 0.1% |
| 8 | 3 | < 0.1% |
| 9 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 12 | 1 | < 0.1% |
| 9 | 1 | < 0.1% |
| 8 | 3 | < 0.1% |
| 7 | 4 | < 0.1% |
| 6 | 16 | < 0.1% |
| 5 | 77 | 0.2% |
| 4 | 269 | 0.8% |
| 3 | 2181 | 6.3% |
| 2 | 11064 | |
| 1 | 12969 |
| Distinct | 15 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 8728 |
| Missing (%) | 25.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.728845344 |
| Minimum | 0 |
|---|---|
| Maximum | 26 |
| Zeros | 1631 |
| Zeros (%) | 4.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 2 |
| 95-th percentile | 4 |
| Maximum | 26 |
| Range | 26 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.010770785 |
|---|---|
| Coefficient of variation (CV) | 0.5846507837 |
| Kurtosis | 20.85932625 |
| Mean | 1.728845344 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.09517618 |
| Sum | 45173 |
| Variance | 1.021657581 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 2 | 12214 | |
| 1 | 9164 | |
| 0 | 1631 | 4.7% |
| 3 | 1606 | 4.6% |
| 4 | 1161 | 3.3% |
| 5 | 151 | 0.4% |
| 6 | 140 | 0.4% |
| 7 | 25 | 0.1% |
| 8 | 23 | 0.1% |
| 10 | 6 | < 0.1% |
| Other values (5) | 8 | < 0.1% |
| (Missing) | 8728 |
| Value | Count | Frequency (%) |
| 0 | 1631 | 4.7% |
| 1 | 9164 | |
| 2 | 12214 | |
| 3 | 1606 | 4.6% |
| 4 | 1161 | 3.3% |
| 5 | 151 | 0.4% |
| 6 | 140 | 0.4% |
| 7 | 25 | 0.1% |
| 8 | 23 | 0.1% |
| 9 | 3 | < 0.1% |
| Value | Count | Frequency (%) |
| 26 | 1 | < 0.1% |
| 18 | 1 | < 0.1% |
| 12 | 1 | < 0.1% |
| 11 | 2 | < 0.1% |
| 10 | 6 | < 0.1% |
| 9 | 3 | < 0.1% |
| 8 | 23 | 0.1% |
| 7 | 25 | 0.1% |
| 6 | 140 | |
| 5 | 151 |
| Distinct | 1684 |
|---|---|
| Distinct (%) | 7.3% |
| Missing | 11810 |
| Missing (%) | 33.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 593.5989934 |
| Minimum | 0 |
|---|---|
| Maximum | 433014 |
| Zeros | 2437 |
| Zeros (%) | 7.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 224 |
| median | 521 |
| Q3 | 670 |
| 95-th percentile | 1001 |
| Maximum | 433014 |
| Range | 433014 |
| Interquartile range (IQR) | 446 |
Descriptive statistics
| Standard deviation | 3398.841946 |
|---|---|
| Coefficient of variation (CV) | 5.725821614 |
| Kurtosis | 11580.16251 |
| Mean | 593.5989934 |
| Median Absolute Deviation (MAD) | 210 |
| Skewness | 96.02231136 |
| Sum | 13680676 |
| Variance | 11552126.58 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 2437 | 7.0% |
| 650 | 204 | 0.6% |
| 697 | 123 | 0.4% |
| 585 | 97 | 0.3% |
| 700 | 86 | 0.2% |
| 604 | 84 | 0.2% |
| 534 | 81 | 0.2% |
| 696 | 80 | 0.2% |
| 652 | 68 | 0.2% |
| 600 | 68 | 0.2% |
| Other values (1674) | 19719 | |
| (Missing) | 11810 |
| Value | Count | Frequency (%) |
| 0 | 2437 | |
| 1 | 3 | < 0.1% |
| 2 | 1 | < 0.1% |
| 3 | 2 | < 0.1% |
| 5 | 1 | < 0.1% |
| 10 | 1 | < 0.1% |
| 14 | 1 | < 0.1% |
| 15 | 2 | < 0.1% |
| 17 | 1 | < 0.1% |
| 18 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 433014 | 1 | |
| 146699 | 1 | |
| 89030 | 1 | |
| 80000 | 1 | |
| 76000 | 1 | |
| 75100 | 1 | |
| 44500 | 1 | |
| 42800 | 1 | |
| 41400 | 1 | |
| 40500 | 1 |
| Distinct | 740 |
|---|---|
| Distinct (%) | 5.4% |
| Missing | 21115 |
| Missing (%) | 60.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 160.2564004 |
| Minimum | 0 |
|---|---|
| Maximum | 44515 |
| Zeros | 76 |
| Zeros (%) | 0.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 56 |
| Q1 | 102 |
| median | 136 |
| Q3 | 188 |
| 95-th percentile | 310 |
| Maximum | 44515 |
| Range | 44515 |
| Interquartile range (IQR) | 86 |
Descriptive statistics
| Standard deviation | 401.2670601 |
|---|---|
| Coefficient of variation (CV) | 2.50390661 |
| Kurtosis | 10877.52575 |
| Mean | 160.2564004 |
| Median Absolute Deviation (MAD) | 41 |
| Skewness | 99.13257937 |
| Sum | 2202243.454 |
| Variance | 161015.2535 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 120 | 185 | 0.5% |
| 100 | 161 | 0.5% |
| 110 | 159 | 0.5% |
| 130 | 153 | 0.4% |
| 115 | 149 | 0.4% |
| 140 | 142 | 0.4% |
| 150 | 136 | 0.4% |
| 160 | 123 | 0.4% |
| 112 | 123 | 0.4% |
| 125 | 119 | 0.3% |
| Other values (730) | 12292 | |
| (Missing) | 21115 |
| Value | Count | Frequency (%) |
| 0 | 76 | |
| 0.01 | 1 | < 0.1% |
| 1 | 15 | < 0.1% |
| 2 | 20 | 0.1% |
| 3 | 25 | 0.1% |
| 4 | 6 | < 0.1% |
| 5 | 4 | < 0.1% |
| 7 | 1 | < 0.1% |
| 9 | 1 | < 0.1% |
| 10 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 44515 | 1 | |
| 6791 | 1 | |
| 6178 | 1 | |
| 4645 | 1 | |
| 3647 | 1 | |
| 3558 | 1 | |
| 3112 | 1 | |
| 2002 | 1 | |
| 1561 | 1 | |
| 1143 | 1 |
| Distinct | 160 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 19306 |
| Missing (%) | 55.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1965.289885 |
| Minimum | 1196 |
|---|---|
| Maximum | 2106 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | 1196 |
|---|---|
| 5-th percentile | 1900 |
| Q1 | 1940 |
| median | 1970 |
| Q3 | 2000 |
| 95-th percentile | 2013 |
| Maximum | 2106 |
| Range | 910 |
| Interquartile range (IQR) | 60 |
Descriptive statistics
| Standard deviation | 37.32817802 |
|---|---|
| Coefficient of variation (CV) | 0.01899372622 |
| Kurtosis | 10.89861685 |
| Mean | 1965.289885 |
| Median Absolute Deviation (MAD) | 30 |
| Skewness | -1.080913147 |
| Sum | 30562223 |
| Variance | 1393.392875 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1970 | 1490 | 4.3% |
| 1960 | 1260 | 3.6% |
| 1950 | 1089 | 3.1% |
| 1980 | 726 | 2.1% |
| 1900 | 606 | 1.7% |
| 2000 | 571 | 1.6% |
| 1920 | 545 | 1.6% |
| 1930 | 531 | 1.5% |
| 1910 | 460 | 1.3% |
| 1890 | 444 | 1.3% |
| Other values (150) | 7829 | |
| (Missing) | 19306 |
| Value | Count | Frequency (%) |
| 1196 | 1 | < 0.1% |
| 1800 | 1 | < 0.1% |
| 1820 | 1 | < 0.1% |
| 1830 | 1 | < 0.1% |
| 1850 | 4 | < 0.1% |
| 1854 | 2 | < 0.1% |
| 1855 | 1 | < 0.1% |
| 1856 | 1 | < 0.1% |
| 1857 | 2 | < 0.1% |
| 1860 | 11 |
| Value | Count | Frequency (%) |
| 2106 | 1 | < 0.1% |
| 2019 | 1 | < 0.1% |
| 2018 | 4 | < 0.1% |
| 2017 | 82 | 0.2% |
| 2016 | 130 | 0.4% |
| 2015 | 156 | |
| 2014 | 212 | |
| 2013 | 247 | |
| 2012 | 333 | |
| 2011 | 241 |
| Distinct | 33 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 3 |
| Missing (%) | < 0.1% |
| Memory size | 272.4 KiB |
| Boroondara City Council | |
|---|---|
| Darebin City Council | |
| Moreland City Council | 2122 |
| Glen Eira City Council | 2006 |
| Melbourne City Council | 1952 |
| Other values (28) |
Length
| Max length | 30 |
|---|---|
| Median length | 22 |
| Mean length | 21.73417685 |
| Min length | 17 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Yarra City Council |
|---|---|
| 2nd row | Yarra City Council |
| 3rd row | Yarra City Council |
| 4th row | Yarra City Council |
| 5th row | Yarra City Council |
Common Values
| Value | Count | Frequency (%) |
| Boroondara City Council | 3675 | 10.5% |
| Darebin City Council | 2851 | 8.2% |
| Moreland City Council | 2122 | 6.1% |
| Glen Eira City Council | 2006 | 5.8% |
| Melbourne City Council | 1952 | 5.6% |
| Banyule City Council | 1861 | 5.3% |
| Moonee Valley City Council | 1791 | 5.1% |
| Bayside City Council | 1764 | 5.1% |
| Brimbank City Council | 1593 | 4.6% |
| Monash City Council | 1466 | 4.2% |
| Other values (23) | 13773 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| council | 34854 | |
| city | 34550 | |
| boroondara | 3675 | 3.3% |
| darebin | 2851 | 2.6% |
| moreland | 2122 | 1.9% |
| glen | 2006 | 1.8% |
| eira | 2006 | 1.8% |
| melbourne | 1952 | 1.8% |
| banyule | 1861 | 1.7% |
| valley | 1791 | 1.6% |
| Other values (31) | 23375 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 13402 |
|---|---|
| Distinct (%) | 49.9% |
| Missing | 7976 |
| Missing (%) | 22.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -37.8106343 |
| Minimum | -38.19043 |
|---|---|
| Maximum | -37.3902 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 26881 |
| Negative (%) | 77.1% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | -38.19043 |
|---|---|
| 5-th percentile | -37.9485 |
| Q1 | -37.86295 |
| median | -37.8076 |
| Q3 | -37.7541 |
| 95-th percentile | -37.67519 |
| Maximum | -37.3902 |
| Range | 0.80023 |
| Interquartile range (IQR) | 0.10885 |
Descriptive statistics
| Standard deviation | 0.09027890451 |
|---|---|
| Coefficient of variation (CV) | -0.002387659086 |
| Kurtosis | 1.544527049 |
| Mean | -37.8106343 |
| Median Absolute Deviation (MAD) | 0.05448 |
| Skewness | -0.2576614223 |
| Sum | -1016387.66 |
| Variance | 0.008150280599 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -37.8361 | 25 | 0.1% |
| -37.8424 | 22 | 0.1% |
| -37.8198 | 20 | 0.1% |
| -37.7956 | 20 | 0.1% |
| -37.8414 | 18 | 0.1% |
| -37.7969 | 18 | 0.1% |
| -37.8536 | 17 | < 0.1% |
| -37.7941 | 17 | < 0.1% |
| -37.7634 | 17 | < 0.1% |
| -37.8127 | 16 | < 0.1% |
| Other values (13392) | 26691 | |
| (Missing) | 7976 | 22.9% |
| Value | Count | Frequency (%) |
| -38.19043 | 1 | |
| -38.1856 | 1 | |
| -38.18463 | 1 | |
| -38.18418 | 1 | |
| -38.18415 | 1 | |
| -38.18255 | 1 | |
| -38.18163 | 1 | |
| -38.17928 | 1 | |
| -38.17829 | 1 | |
| -38.17745 | 1 |
| Value | Count | Frequency (%) |
| -37.3902 | 1 | |
| -37.3951 | 1 | |
| -37.3978 | 1 | |
| -37.39946 | 1 | |
| -37.40349 | 1 | |
| -37.4072 | 1 | |
| -37.40744 | 1 | |
| -37.40758 | 1 | |
| -37.40853 | 1 | |
| -37.40869 | 1 |
| Distinct | 14524 |
|---|---|
| Distinct (%) | 54.0% |
| Missing | 7976 |
| Missing (%) | 22.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 145.0018511 |
| Minimum | 144.42379 |
|---|---|
| Maximum | 145.52635 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | 144.42379 |
|---|---|
| 5-th percentile | 144.80008 |
| Q1 | 144.9335 |
| median | 145.0078 |
| Q3 | 145.0719 |
| 95-th percentile | 145.1877 |
| Maximum | 145.52635 |
| Range | 1.10256 |
| Interquartile range (IQR) | 0.1384 |
Descriptive statistics
| Standard deviation | 0.1201687692 |
|---|---|
| Coefficient of variation (CV) | 0.0008287395521 |
| Kurtosis | 1.545947474 |
| Mean | 145.0018511 |
| Median Absolute Deviation (MAD) | 0.06832 |
| Skewness | -0.3948800169 |
| Sum | 3897794.76 |
| Variance | 0.01444053308 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 144.9966 | 21 | 0.1% |
| 144.991 | 17 | < 0.1% |
| 144.985 | 17 | < 0.1% |
| 145.0104 | 17 | < 0.1% |
| 144.9679 | 16 | < 0.1% |
| 144.9911 | 16 | < 0.1% |
| 145.0001 | 16 | < 0.1% |
| 145.0243 | 16 | < 0.1% |
| 144.997 | 15 | < 0.1% |
| 144.9999 | 15 | < 0.1% |
| Other values (14514) | 26715 | |
| (Missing) | 7976 | 22.9% |
| Value | Count | Frequency (%) |
| 144.42379 | 1 | |
| 144.43162 | 1 | |
| 144.43181 | 1 | |
| 144.4394 | 1 | |
| 144.44051 | 1 | |
| 144.48571 | 1 | |
| 144.49 | 1 | |
| 144.4926 | 1 | |
| 144.513 | 1 | |
| 144.5206 | 1 |
| Value | Count | Frequency (%) |
| 145.52635 | 1 | |
| 145.5237 | 1 | |
| 145.51137 | 1 | |
| 145.48985 | 1 | |
| 145.48273 | 1 | |
| 145.48246 | 1 | |
| 145.4779 | 1 | |
| 145.47282 | 1 | |
| 145.47262 | 1 | |
| 145.47052 | 1 |
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 3 |
| Missing (%) | < 0.1% |
| Memory size | 272.4 KiB |
| Southern Metropolitan | |
|---|---|
| Northern Metropolitan | |
| Western Metropolitan | |
| Eastern Metropolitan | |
| South-Eastern Metropolitan | |
| Other values (3) | 546 |
Length
| Max length | 26 |
|---|---|
| Median length | 21 |
| Mean length | 20.85631491 |
| Min length | 16 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Northern Metropolitan |
|---|---|
| 2nd row | Northern Metropolitan |
| 3rd row | Northern Metropolitan |
| 4th row | Northern Metropolitan |
| 5th row | Northern Metropolitan |
Common Values
| Value | Count | Frequency (%) |
| Southern Metropolitan | 11836 | |
| Northern Metropolitan | 9557 | |
| Western Metropolitan | 6799 | |
| Eastern Metropolitan | 4377 | 12.6% |
| South-Eastern Metropolitan | 1739 | 5.0% |
| Eastern Victoria | 228 | 0.7% |
| Northern Victoria | 203 | 0.6% |
| Western Victoria | 115 | 0.3% |
| (Missing) | 3 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| metropolitan | 34308 | |
| southern | 11836 | 17.0% |
| northern | 9760 | 14.0% |
| western | 6914 | 9.9% |
| eastern | 4605 | 6.6% |
| south-eastern | 1739 | 2.5% |
| victoria | 546 | 0.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 342 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 3 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7572.888306 |
| Minimum | 83 |
|---|---|
| Maximum | 21650 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 272.4 KiB |
Quantile statistics
| Minimum | 83 |
|---|---|
| 5-th percentile | 2185 |
| Q1 | 4385 |
| median | 6763 |
| Q3 | 10412 |
| 95-th percentile | 15510 |
| Maximum | 21650 |
| Range | 21567 |
| Interquartile range (IQR) | 6027 |
Descriptive statistics
| Standard deviation | 4428.090313 |
|---|---|
| Coefficient of variation (CV) | 0.5847293839 |
| Kurtosis | 0.8906876388 |
| Mean | 7572.888306 |
| Median Absolute Deviation (MAD) | 2823 |
| Skewness | 0.9921002749 |
| Sum | 263945449 |
| Variance | 19607983.82 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 21650 | 844 | 2.4% |
| 8870 | 722 | 2.1% |
| 10969 | 583 | 1.7% |
| 14949 | 552 | 1.6% |
| 10412 | 491 | 1.4% |
| 14577 | 485 | 1.4% |
| 10331 | 467 | 1.3% |
| 10579 | 456 | 1.3% |
| 11918 | 444 | 1.3% |
| 14887 | 435 | 1.2% |
| Other values (332) | 29375 |
| Value | Count | Frequency (%) |
| 83 | 1 | < 0.1% |
| 121 | 1 | < 0.1% |
| 129 | 1 | < 0.1% |
| 242 | 1 | < 0.1% |
| 249 | 5 | < 0.1% |
| 271 | 1 | < 0.1% |
| 290 | 2 | < 0.1% |
| 335 | 1 | < 0.1% |
| 342 | 1 | < 0.1% |
| 389 | 13 |
| Value | Count | Frequency (%) |
| 21650 | 844 | |
| 17496 | 204 | 0.6% |
| 17384 | 20 | 0.1% |
| 17093 | 47 | 0.1% |
| 17055 | 123 | 0.4% |
| 16166 | 178 | 0.5% |
| 15542 | 129 | 0.4% |
| 15510 | 255 | 0.7% |
| 15321 | 235 | 0.7% |
| 14949 | 552 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Suburb | Address | Rooms | Type | Method | SellerG | Date | Distance | Postcode | Bedroom2 | Bathroom | Car | Landsize | BuildingArea | YearBuilt | CouncilArea | Lattitude | Longtitude | Regionname | Propertycount | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Abbotsford | 68 Studley St | 2 | h | SS | Jellis | 3/09/2016 | 2.5 | 3067.0 | 2.0 | 1.0 | 1.0 | 126.0 | NaN | NaN | Yarra City Council | -37.8014 | 144.9958 | Northern Metropolitan | 4019.0 |
| 1 | Abbotsford | 85 Turner St | 2 | h | S | Biggin | 3/12/2016 | 2.5 | 3067.0 | 2.0 | 1.0 | 1.0 | 202.0 | NaN | NaN | Yarra City Council | -37.7996 | 144.9984 | Northern Metropolitan | 4019.0 |
| 2 | Abbotsford | 25 Bloomburg St | 2 | h | S | Biggin | 4/02/2016 | 2.5 | 3067.0 | 2.0 | 1.0 | 0.0 | 156.0 | 79.0 | 1900.0 | Yarra City Council | -37.8079 | 144.9934 | Northern Metropolitan | 4019.0 |
| 3 | Abbotsford | 18/659 Victoria St | 3 | u | VB | Rounds | 4/02/2016 | 2.5 | 3067.0 | 3.0 | 2.0 | 1.0 | 0.0 | NaN | NaN | Yarra City Council | -37.8114 | 145.0116 | Northern Metropolitan | 4019.0 |
| 4 | Abbotsford | 5 Charles St | 3 | h | SP | Biggin | 4/03/2017 | 2.5 | 3067.0 | 3.0 | 2.0 | 0.0 | 134.0 | 150.0 | 1900.0 | Yarra City Council | -37.8093 | 144.9944 | Northern Metropolitan | 4019.0 |
| 5 | Abbotsford | 40 Federation La | 3 | h | PI | Biggin | 4/03/2017 | 2.5 | 3067.0 | 3.0 | 2.0 | 1.0 | 94.0 | NaN | NaN | Yarra City Council | -37.7969 | 144.9969 | Northern Metropolitan | 4019.0 |
| 6 | Abbotsford | 55a Park St | 4 | h | VB | Nelson | 4/06/2016 | 2.5 | 3067.0 | 3.0 | 1.0 | 2.0 | 120.0 | 142.0 | 2014.0 | Yarra City Council | -37.8072 | 144.9941 | Northern Metropolitan | 4019.0 |
| 7 | Abbotsford | 16 Maugie St | 4 | h | SN | Nelson | 6/08/2016 | 2.5 | 3067.0 | 3.0 | 2.0 | 2.0 | 400.0 | 220.0 | 2006.0 | Yarra City Council | -37.7965 | 144.9965 | Northern Metropolitan | 4019.0 |
| 8 | Abbotsford | 53 Turner St | 2 | h | S | Biggin | 6/08/2016 | 2.5 | 3067.0 | 4.0 | 1.0 | 2.0 | 201.0 | NaN | 1900.0 | Yarra City Council | -37.7995 | 144.9974 | Northern Metropolitan | 4019.0 |
| 9 | Abbotsford | 99 Turner St | 2 | h | S | Collins | 6/08/2016 | 2.5 | 3067.0 | 3.0 | 2.0 | 1.0 | 202.0 | NaN | 1900.0 | Yarra City Council | -37.7996 | 144.9989 | Northern Metropolitan | 4019.0 |
Last rows
| Suburb | Address | Rooms | Type | Method | SellerG | Date | Distance | Postcode | Bedroom2 | Bathroom | Car | Landsize | BuildingArea | YearBuilt | CouncilArea | Lattitude | Longtitude | Regionname | Propertycount | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 34847 | Wollert | 27 Birchmore Rd | 3 | h | PI | Ray | 24/02/2018 | 25.5 | 3750.0 | 3.0 | 2.0 | 2.0 | 383.0 | 118.0 | 2016.0 | Whittlesea City Council | -37.61940 | 145.03951 | Northern Metropolitan | 2940.0 |
| 34848 | Wollert | 16 Gunther Wy | 4 | h | S | hockingstuart | 24/02/2018 | 25.5 | 3750.0 | 4.0 | 2.0 | 2.0 | 375.0 | NaN | NaN | Whittlesea City Council | -37.61331 | 145.03412 | Northern Metropolitan | 2940.0 |
| 34849 | Wollert | 35 Kingscote Wy | 3 | h | SP | RW | 24/02/2018 | 25.5 | 3750.0 | 3.0 | 2.0 | 2.0 | 404.0 | 158.0 | 2012.0 | Whittlesea City Council | -37.61031 | 145.03393 | Northern Metropolitan | 2940.0 |
| 34850 | Wollert | 15 Rockgarden Wy | 3 | h | SP | LJ | 24/02/2018 | 25.5 | 3750.0 | 3.0 | 2.0 | 2.0 | 268.0 | 135.0 | 2016.0 | Whittlesea City Council | -37.61094 | 145.04281 | Northern Metropolitan | 2940.0 |
| 34851 | Yarraville | 78 Bayview Rd | 3 | h | S | Jas | 24/02/2018 | 6.3 | 3013.0 | 3.0 | 1.0 | NaN | 288.0 | NaN | NaN | Maribyrnong City Council | -37.81095 | 144.88516 | Western Metropolitan | 6543.0 |
| 34852 | Yarraville | 13 Burns St | 4 | h | PI | Jas | 24/02/2018 | 6.3 | 3013.0 | 4.0 | 1.0 | 3.0 | 593.0 | NaN | NaN | Maribyrnong City Council | -37.81053 | 144.88467 | Western Metropolitan | 6543.0 |
| 34853 | Yarraville | 29A Murray St | 2 | h | SP | Sweeney | 24/02/2018 | 6.3 | 3013.0 | 2.0 | 2.0 | 1.0 | 98.0 | 104.0 | 2018.0 | Maribyrnong City Council | -37.81551 | 144.88826 | Western Metropolitan | 6543.0 |
| 34854 | Yarraville | 147A Severn St | 2 | t | S | Jas | 24/02/2018 | 6.3 | 3013.0 | 2.0 | 1.0 | 2.0 | 220.0 | 120.0 | 2000.0 | Maribyrnong City Council | -37.82286 | 144.87856 | Western Metropolitan | 6543.0 |
| 34855 | Yarraville | 12/37 Stephen St | 3 | h | SP | hockingstuart | 24/02/2018 | 6.3 | 3013.0 | NaN | NaN | NaN | NaN | NaN | NaN | Maribyrnong City Council | NaN | NaN | Western Metropolitan | 6543.0 |
| 34856 | Yarraville | 3 Tarrengower St | 2 | h | PI | RW | 24/02/2018 | 6.3 | 3013.0 | 2.0 | 1.0 | 0.0 | 250.0 | 103.0 | 1930.0 | Maribyrnong City Council | -37.81810 | 144.89351 | Western Metropolitan | 6543.0 |
Most frequently occurring
| Suburb | Address | Rooms | Type | Method | SellerG | Date | Distance | Postcode | Bedroom2 | Bathroom | Car | Landsize | BuildingArea | YearBuilt | CouncilArea | Lattitude | Longtitude | Regionname | Propertycount | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Nunawading | 1/7 Lilian St | 3 | t | SP | Jellis | 17/06/2017 | 15.4 | 3131.0 | 3.0 | 3.0 | 2.0 | 405.0 | 226.0 | 2000.0 | Manningham City Council | -37.82678 | 145.16777 | Eastern Metropolitan | 4973.0 | 2 |